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New benchmark reveals persistent prompt injection risks in LLM agents

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CarryoverBench, a new benchmark designed to evaluate the persistence of prompt injection attacks on LLM agents. These "carryover attacks" can re-fire across sessions long after the initial malicious input, exploiting agent memory files or scheduled tasks. The benchmark includes 12 personal-assistant scenarios and 101 attack tasks across three trigger channels: instant, autonomous, and latent. Testing on five frontier models revealed that planted payloads can re-fire over multiple rounds without significant decay, and runtime-layer controls may be necessary for effective defense. AI

IMPACT Highlights a critical security vulnerability in LLM agents, potentially impacting their safe deployment in persistent applications.

RANK_REASON The cluster contains a research paper detailing a new benchmark for evaluating a specific type of security vulnerability in LLM agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark reveals persistent prompt injection risks in LLM agents

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The cluster contains a research paper detailing a new benchmark for evaluating a specific type of security vulnerability in LLM agents. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zhiyue Xu, Xukai Wang, Zhiyuan Huang, Mingjie Zhan, Jian Zhao, Xu-Yao Zhang ·

    After the Attacker Leaves: Benchmarking Carryover Attacks on LLM Agents

    arXiv:2610.28425v1 Announce Type: cross Abstract: Modern LLM agents persist state across sessions via two channels: long-lived memory files silently prepended to the system prompt, and scheduled tasks waking the agent without user input. A one-time indirect prompt injection commi…

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